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Data Wrangling and Visualisation (BUSA90520)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
Contact information
Semester 1
Derick Lyle: derick.lyle@unimelb.edu.au
Semester 2
Derick Lyle: derick.lyle@unimelb.edu.au
Overview
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This subject provides an introduction to the essential skills for the management of business data to enable the application of analytics and evidence-based decision-making in business. It entails the study of the principles and tools for business data management and modelling. The focus of the subject is enabling business decision-making, and includes consideration of effective presentation and reporting of business data. Data sets will be drawn from multiple industries and business disciplines (accounting, economics, finance and management & marketing).
Intended learning outcomes
On successful completion of this subject, students should be able to:
- Collect and compile business data from multiple sources
- Manage common issues in the manipulation of business data of different types (e.g., timestamp, textual data)
- Define appropriate business metrics and variables for a given data set
- Explain the principles and issues involved in the effective presentation of business data for decision-making purposes
Generic skills
- Collaborative learning
- Problem solving;
- Team work
- Interpretation and analysis;
- Critical thinking;
- Evaluation of data and other information;
- Use of computer software;
- Application of theory to practice
- Oral communication;
- Written communication;
- Accessing data and other information from a range of sources
- Synthesis of data and other information;
Last updated: 4 December 2024